Secondary Analysis of Existing Datasets in Heart, Lung, and Blood Diseases and Sleep Disorders (R21 Clinical Trial Not Allowed)
Use existing datasets to explore new ideas in heart, lung, blood diseases, and sleep disorders for impactful research (R21, no clinical trials).
This grant is no longer accepting proposals
National Institutes of Health has archived this opportunity.
Funder: National Institutes of Health
Due Dates: February 28, 2025 (New/Renewal/Resubmission/Revision) | May 7, 2025 (AIDS) | October 28, 2025 (New/Renewal/Resubmission/Revision) | January 7, 2026 (AIDS)
Funding Amounts: Up to $75,000 direct costs per year, max 2 years (R21 mechanism); no clinical trials allowed.
Summary: Supports secondary analysis of existing human datasets to advance research in heart, lung, blood diseases, and sleep disorders within the NHLBI mission.
Key Information: No new primary data collection permitted; applications exceeding $75,000/year direct costs will not be reviewed.
Description
This opportunity from the National Heart, Lung, and Blood Institute (NHLBI) encourages R21 applications for secondary analysis of existing human datasets in areas relevant to heart, lung, and blood diseases and sleep disorders. The goal is to leverage existing data to investigate novel scientific ideas, develop new models, systems, tools, methods, or technologies, and address important biomedical or biobehavioral research questions. Generation of new primary data is not allowed under this funding opportunity.
Projects may include, but are not limited to:
- Disease etiology, detection, diagnosis, treatment, progression, risk, prevention, and survivorship
- Social determinants of health and health disparities
- Epidemiological relationships and risk stratification
- Development/validation of prevention strategies, screening algorithms, or statistical methodologies
- Implementation and translation of research findings
- Genomic, imaging, or environmental factor analyses
Applicants are encouraged to use datasets from a variety of sources, including NHLBI repositories (e.g., BioData Catalyst, BioLINCC), dbGaP, other NIH or non-NIH sources, electronic health records, registries, and industry-supported datasets. Merging datasets from multiple sources is permitted.
